To date, healthcare organizations need well-established knowledge to support care quality. Managers invest in motivating medical staff and associated healthcare stakeholders to share their respective knowledge. Additionally, they invest in advanced technology to facilitate sharing process. However, these efforts essentially raise classification and privacy concerns. Technology configuration tha...

In this article, key points are discussed concerning knowledge representation for clinical decision support systems in the domain of physical medicine and rehabilitation. Information models, classifications and terminologies, such as the “virtual medical record” (vMR), the “international classification of functioning, disability and health” (ICF), the “international classification of diseases” ...

This paper presents the first attempt to semi-automatically translate SNOMED CT (Systematized Nomenclature of Medicine – Clinical Terms) terminology content to Basque, a less resourced language. Thus, it would be possible to build a new clinical healthcare terminology for Basque. We have designed the translation algorithm and the first two phases of the algorithm that feed the SNOMED CT’s Termi...

The Health Information Technology for Economic and Clinical Health (HITECH) Act, enacted as part of the American Recovery and Reinvestment Act of 2009, positioned the Meaningful Use of interoperable Electronic Health Records as a critical goal and encouraged nationwide EHR adoption. The Consolidated Health Informatics (CHI) initiative recommended the following three terminologies for EHRs: SNOM...

We introduce the notion of an ontology excerpt as being a fixed-size subset of an ontology that preserves as much knowledge as possible about the terms in a given vocabulary as described in the ontology. We consider different extraction techniques for ontology excerpts based on methods from Information Retrieval. To evaluate these techniques, we measure the degree of incompleteness of the resul...

Semantic technologies, such as comprehensive biomedical ontologies (e.g., SNOMED CT [1]), and ontology mappings linking several ontologies (e.g., SNOMED CT, NDF-RT [2], and RxNorm [3]), are offered as valuable tools to the biomedical community. However, due to the high degree of specialization in health care and life sciences, two undesirable scenarios might occur: (i) the whole breadth of an e...

We propose a silver standard based on the UMLS Metathesaurus to align NCI, FMA and SNOMED CT. This silver standard aims at being exploited within the OAEI and SEALS Campaigns.

The various ways in which one can refer to the same clinical concept needs to be accounted for in a semantic resource such as SNOMED CT. Developing terminological resources manually is, however, prohibitively expensive and likely to result in low coverage, especially given the high variability of language use in clinical text. To support this process, distributional methods can be employed in c...

OWL ontologies are extensively used in the clinical sciences, with ontologies such as SNOMED CT being a component of the health information systems of several countries. Preserving privacy of information in ontology-based systems (e.g., preventing unauthorised access to system’s data and ontological knowledge) is a critical requirement, especially when the system is accessed by numerous users w...

In this paper a description is presented in which the architectural, lexical and mapping differences are foregrounded between two compositional systems, both operating in the health care domain: LinkBase® and SNOMED. Based on these distinctive features, repercussions on NLP applications are exemplified and briefly discussed.